A novel control paradigm for large-scale hybrid networks

Risultati finali

Report on how results data and publications will be made open access available under FAIR conditions

Pubblicazioni

Certainty-Equivalence Model Predictive Control: Stability, Performance, and Beyond

Autori: Changrui Liu, Shengling Shi, Bart De Schutter
Pubblicato in: IEEE Transactions on Automatic Control, 2026, Pagina/e 1-16, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2026.3661789

On the Regret of Model Predictive Control With Imperfect Inputs

Autori: Changrui Liu, Shengling Shi, Bart De Schutter
Pubblicato in: IEEE Control Systems Letters, Numero 9, 2025, Pagina/e 601-606, ISSN 2475-1456
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lcsys.2025.3577083

Multi-agent reinforcement learning via distributed MPC as a function approximator

Autori: Mallick, Samuel; Airaldi, Filippo; Dabiri, Azita; De Schutter, Bart
Pubblicato in: Automatica, Numero 4, 2024, Pagina/e 111803, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2024.111803

Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM

Autori: Samuel Mallick, Azita Dabiri, Bart De Schutter
Pubblicato in: IEEE Transactions on Automatic Control, Numero 70, 2025, Pagina/e 3727-3741, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2024.3512334

Integrating Reinforcement Learning and Model Predictive Control for Mixed- Logical Dynamical Systems

Autori: Caio Fabio Oliveira da Silva, Azita Dabiri, Bart De Schutter
Pubblicato in: IEEE Open Journal of Control Systems, Numero 4, 2025, Pagina/e 316-331, ISSN 2694-085X
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ojcsys.2025.3601435

State-Action Control Barrier Functions: Imposing Safety on Learning-Based Control With Low Online Computational Costs

Autori: Kanghui He, Shengling Shi, Ton van den Boom, Bart De Schutter
Pubblicato in: IEEE Transactions on Automatic Control, Numero 71, 2026, Pagina/e 3365-3371, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2025.3636804

Reinforcement Learning With Model Predictive Control for Highway Ramp Metering

Autori: Filippo Airaldi, Bart De Schutter, Azita Dabiri
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 26, 2025, Pagina/e 5988-6004, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2025.3549227

Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights

Autori: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Pubblicato in: Annual Reviews in Control, Numero 61, 2026, Pagina/e 101046, ISSN 1367-5788
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.arcontrol.2026.101046

Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach

Autori: He, Kanghui; Shi, Shengling; Boom, Ton van den; De Schutter, Bart
Pubblicato in: Automatica, Numero 160, 2024, Pagina/e 111456, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2023.111456

Bi-level model predictive control for metro networks: Integration of timetables, passenger flows, and train speed profiles

Autori: Xiaoyu Liu; Azita Dabiri; Jing Xun; Bart De Schutter
Pubblicato in: Transportation Research Part E: Logistics and Transportation Review, Numero 180, 2023, Pagina/e 103339, ISSN 1366-5545
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.tre.2023.103339

A combined probabilistic-fuzzy approach for dynamic modeling of traffic in smart cities: Handling imprecise and uncertain traffic data

Autori: A. Jamshidnejad and B. De Schutter
Pubblicato in: Computers and Electrical Engineering, 2024, Pagina/e 109552, ISSN 0045-7906
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compeleceng.2024.109552

Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge

Autori: A. Ilioudi, A. Dabiri, B. J. Wolf and B. De Schutter
Pubblicato in: IEEE Access, Numero 10, 2022, Pagina/e 34562-34576, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3162827

Distributed Model Predictive Control for Virtually Coupled Heterogeneous Trains: Comparison and Assessment

Autori: Xiaoyu Liu, Azita Dabiri, Yihui Wang, Jing Xun, Bart De Schutter
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 25, 2024, Pagina/e 20753-20766, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2024.3458169

Adaptive parameterized model predictive control based on reinforcement learning: A synthesis framework

Autori: D. Sun, A. Jamshidnejad, and B. De Schutter
Pubblicato in: Engineering Applications of Artificial Intelligence, 2024, Pagina/e 109009, ISSN 0952-1976
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.engappai.2024.109009

Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks

Autori: Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 24, 2023, Pagina/e 3325-3338, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2022.3228340

Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles With Discrete Gear Selection

Autori: Samuel Mallick, Gianpietro Battocletti, Qizhang Dong, Azita Dabiri, Bart De Schutter
Pubblicato in: IEEE Control Systems Letters, Numero 9, 2025, Pagina/e 1117-1122, ISSN 2475-1456
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lcsys.2025.3575335

Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching

Autori: Shengling Shi; Othmane Mazhar; Bart De Schutter
Pubblicato in: IEEE Control Systems Letters, Numero 7, 2023, Pagina/e 121-126, ISSN 2475-1456
Editore: IEEE
DOI: 10.48550/arxiv.2203.09862

A Novel Framework Combining MPC and Deep Reinforcement Learning With Application to Freeway Traffic Control

Autori: Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2024, Pagina/e 6756-6769, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3342651

Suboptimality Analysis of Receding-Horizon Quadratic Control With Unknown Linear Systems and Its Applications in Learning-Based Control

Autori: Shengling Shi, Anastasios Tsiamis, Bart De Schutter
Pubblicato in: IEEE Transactions on Automatic Control, Numero 71, 2026, Pagina/e 1422-1437, ISSN 0018-9286
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2025.3605539

A state reduction approach for learning-based model predictive control for train rescheduling

Autori: C.F.O. da Silva, X. Liu, A. Dabiri, B. De Schutter
Pubblicato in: IFAC-PapersOnLine, Numero 59, 2026, Pagina/e 383-388, ISSN 2405-8963
Editore: Elsevier BV
DOI: 10.1016/j.ifacol.2025.12.065

Grammatical-Evolution-based parameterized Model Predictive Control for urban traffic networks

Autori: Joost Jeschke; Dingshan Sun; Anahita Jamshidnejad; Bart De Schutter
Pubblicato in: Control Engineering Practice, Numero 132, 2023, Pagina/e 105431, ISSN 0967-0661
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.conengprac.2022.105431

Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach

Autori: Xiaoyu Liu; Azita Dabiri; Yihui Wang; Bart De Schutter
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, Numero 25, 2024, Pagina/e 4219-4232, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2023.3329445

Reinforcement learning-based model predictive control for greenhouse climate control

Autori: Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter
Pubblicato in: Smart Agricultural Technology, Numero 10, 2025, Pagina/e 100751, ISSN 2772-3755
Editore: Elsevier BV
DOI: 10.1016/j.atech.2024.100751

A Novel Bi-Level Temporally-Distributed Mpc Approach: An Application to Green Urban Mobility

Autori: Anahita Jamshidnejad; Dingshan Sun; Antonella Ferrara; Bart De Schutter
Pubblicato in: Transportation Research Part C: Emerging Technologies, Numero 156, 2023, Pagina/e 104334, ISSN 0968-090X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2023.104334

Distributed model predictive control without terminal cost under inexact distributed optimization

Autori: Xiaoyu Liu, Dimos V. Dimarogonas, Changxin Liu, Azita Dabiri, Bart De Schutter
Pubblicato in: Automatica, Numero 190, 2026, Pagina/e 113050, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2026.113050

Sensitivity analysis for piecewise-affine approximations of nonlinear programs with polytopic constraints

Autori: L. Gharavi; C. Liu; B. De Schutter; and S. Baldi
Pubblicato in: IEEE Control Systems Letters, 2024, Pagina/e 1271-1276, ISSN 2475-1456
Editore: IEEE
DOI: 10.1109/lcsys.2024.3408711

Regret Analysis of Learning-Based Linear Quadratic Gaussian Control with Additive Exploration

Autori: Athrey, Archith; Mazhar, Othmane; Guo, Meichen; De Schutter, Bart; Shi, Shengling
Pubblicato in: Proceedings of the 2024 European Control Conference, 2024, Pagina/e 1795-1801
Editore: -
DOI: 10.23919/ecc64448.2024.10590739

Combined MPC and reinforcement learning for traffic signal control in urban traffic networks

Autori: Willemijn Remmerswaal, Dingshan Sun, Anahita Jamshidnejad, Bart De Schutter
Pubblicato in: 2022 26th International Conference on System Theory, Control and Computing (ICSTCC), 2022, Pagina/e 432-439
Editore: IEEE
DOI: 10.1109/icstcc55426.2022.9931771

Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees

Autori: Samuel Mallick, Azita Dabiri, Bart De Schutter
Pubblicato in: 2025 European Control Conference (ECC), 2025, Pagina/e 345-350
Editore: IEEE
DOI: 10.23919/ecc65951.2025.11187256

Scenario-Based MPC for Real-Time Passenger-Centric Timetable Scheduling of Urban Rail Transit Networks

Autori: Liu, X. (author); Dabiri, A. (author); De Schutter, B.H.K. (author)
Pubblicato in: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Pagina/e 2347-2352
Editore: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.1205

Integrated reinforcement learning and optimization for railway timetable rescheduling

Autori: H. Zhang, X. Liu, D. Sun, A. Dabiri, and B. De Schutter
Pubblicato in: Proceedings of the 17th IFAC Symposium on Control in Transportation Systems (CTS 2024, 2024, Pagina/e 310-315
Editore: -
DOI: 10.1016/j.ifacol.2024.07.358

A Generalized Partitioning Strategy for Distributed Control

Autori: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Pubblicato in: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Pagina/e 6134-6141
Editore: IEEE
DOI: 10.1109/cdc56724.2024.10885848

Adaptive Parameterized Control for Coordinated traffic Management Using Reinforcement Learning

Autori: Sun, D. (author); Jamshidnejad, A. (author); De Schutter, B.H.K. (author)
Pubblicato in: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Pagina/e 5463-5468
Editore: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.198

Stability and Performance Analysis of Model Predictive Control of Uncertain Linear Systems

Autori: Changrui Liu, Shengling Shi, Bart De Schutter
Pubblicato in: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Pagina/e 7356-7362
Editore: IEEE
DOI: 10.1109/cdc56724.2024.10885798

Signal selection for local module identification in linear dynamic networks: A graphical approach

Autori: Shengling Shi, Xiaodong Cheng, Bart De Schutter, Paul M.J. Van den Hof
Pubblicato in: Proceedings of the 22nd IFAc World Congress / IFAC-PapersOnLine, 2023, Pagina/e 2407-2412
Editore: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.1215

Provably-Stable Stochastic MPC for a Class of Nonlinear Contractive Systems

Autori: Cordiano, F. (author); Fochesato, Marta (author); Huang, Linbin (author); De Schutter, B.H.K. (author)
Pubblicato in: Proceedings of the 22nd IFAC World Congress / IFAC-PapersOnLine, 2023, Pagina/e 11242-11248
Editore: IFAC
DOI: 10.1016/j.ifacol.2023.10.313

Efficient and Safe Learning-based Control of Piecewise Affine Systems Using Optimization-Free Safety Filters*

Autori: Kanghui He, Shengling Shi, Ton Van Den Boom, Bart De Schutter
Pubblicato in: 2024 IEEE 63rd Conference on Decision and Control (CDC), 2025, Pagina/e 5046-5053
Editore: IEEE
DOI: 10.1109/cdc56724.2024.10886328

Probabilistically safe and efficient model-based reinforcement learning

Autori: Filippo Airaldi, Bart De Schutter, Azita Dabiri
Pubblicato in: 2025 IEEE 64th Conference on Decision and Control (CDC), 2026, Pagina/e 5853-5860
Editore: IEEE
DOI: 10.1109/cdc57313.2025.11312525

A benchmark for multi-agent control of energy systems: The European economic area hybrid electricity network benchmark *

Autori: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Pubblicato in: 2025 European Control Conference (ECC), 2025, Pagina/e 2575-2582
Editore: IEEE
DOI: 10.23919/ecc65951.2025.11187247

A Behavioral Perspective on Models of Linear Dynamical Networks with Manifest Variables

Autori: S. Shi, Z. Sun, and B. De Schutter
Pubblicato in: Proceedings of the 2024 European Control Conference, 2024, Pagina/e 2927-2933
Editore: -
DOI: 10.23919/ecc64448.2024.10591178

Scenario reduction with guarantees for stochastic optimal control of linear systems

Autori: F. Cordiano; B. De Schutter
Pubblicato in: Proceedings of the 2024 European Control Conference, 2024, Pagina/e 3502-3508
Editore: -
DOI: 10.23919/ecc64448.2024.10590866

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes

Autori: Airaldi, Filippo; De Schutter, Bart; Dabiri, Azita
Pubblicato in: Proceedings of the 22nd IFAC World Congress / Elsevier, 2023, Pagina/e 5759-5764
Editore: IFAC / Elsevier
DOI: 10.1016/j.ifacol.2023.10.563

A Benchmark for the Application of Distributed Control Techniques to the Electricity Network of the European Economic Area

Autori: Alessandro Riccardi, Luca Laurenti, Bart De Schutter
Pubblicato in: Advances in Industrial Control, Control Systems Benchmarks, 2025, Pagina/e 9-28
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76312-0_2

Risultati finali

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